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Probabilistic Rollouts for Learning Curve Extrapolation Across
  Hyperparameter Settings

Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings

10 October 2019
Matilde Gargiani
Aaron Klein
Stefan Falkner
Frank Hutter
    BDL
ArXivPDFHTML

Papers citing "Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings"

3 / 3 papers shown
Title
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter
  Optimization
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization
Herilalaina Rakotoarison
Steven Adriaensen
Neeratyoy Mallik
Samir Garibov
Eddie Bergman
Frank Hutter
AI4CE
42
11
0
25 Apr 2024
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted
  Networks
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
Steven Adriaensen
Herilalaina Rakotoarison
Samuel G. Müller
Frank Hutter
BDL
33
21
0
31 Oct 2023
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1